In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …

Educational Institutions face numerous challenges today in providing quality and student-
centric education to students. Despite the huge volume of data available with educational …

With technological advancement, data is proliferating. Therefore, a need has been felt for
advanced analytic techniques, which can help in extracting useful information, patterns, and …

Advanced machine learning (ML) methods can predict student's performance with key
features based on academic, behavioral, and demographic data. Significant works have …

Maintaining the continuation of study is a vitalelement as it holds students' concentration to
achieve what the external world left them to explore. COVID-19 acts as some kind of a …

There has been a rapid growth in the educational domain since education has become an
important need. Data is collected in this domain which can be put to meaningful use to …

In this era of Cloud Computing and Machine Learning where every kind of work is getting
automated through machine learning techniques running off of cloud servers to complete …

Digitization is transforming all aspects of education. Learner's interactions with their online
and offline learning environment lead to a trail of data that can be used for the purpose of …

Students are an important stakeholder in an educational institute. Students' performance
plays a vital role in producing excellent graduate students who will be the future viable …

In universities that use the academic credit system, selecting elective courses is a crucial
task that can have a significant impact on a student's academic performance. Students who …